Disclosed are a method for transmitting and receiving channel state information in a wireless communication system and an apparatus therefor. Specifically, a method for transmitting, by a terminal, channel state information (CSI) in a wireless communication system comprises the steps of: receiving a CSI process setting from a base station; and reporting, to the base station, CSI corresponding to a CSI process set by the CSI process setting, wherein when the CSI process is set to a beamformed CSI-reference signal (CSI-RS) type, and the CSI process is associated with a single CSI-RS resource, a codebook used for deriving the CSI may be indicated by the CSI process setting.

Presently disclosed are systems and methods for beamforming training in WLANs. In various embodiments, there are unified MIMO beamforming training procedure, which includes a training period in which an initiator transmits multiple unified training frames for performing a transmit-beamforming training of the initiator and a receive-beamforming training of one or more responders; a feedback period in which each responder replies with a beamforming-feedback response; and an acknowledgement period during which the initiator transmits respective acknowledgement frames to the one or more responders from which responses were received. Rules for restricted random access in various slots of the feedback period may be implemented, to address response contention between multiple qualifying responders.

Examples described herein include sliding window methods for calculating frequency-localized weights for adaptive beamformers. A window of subcarriers may be used to calculate a cross-correlation vector, inverse covariance matrix, or other components used in a weight calculation for a particular subcarrier. In some examples, a next window of subcarriers may include additional subcarriers, and may not include other subcarriers. The previously-calculated cross-correlation vector, inverse covariance matrix, or other components may be updated in accordance with updates and downdates associated with the added and removed subcarriers. The updated components may be used to generate weights for a subcarrier in the next window.

Examples described herein include sliding window methods for calculating frequency-localized weights for adaptive beamformers. A window of subcarriers may be used to calculate a cross-correlation vector, inverse covariance matrix, or other components used in a weight calculation for a particular subcarrier. In some examples, a next window of subcarriers may include additional subcarriers, and may not include other subcarriers. The previously-calculated cross-correlation vector, inverse covariance matrix, or other components may be updated in accordance with updates and downdates associated with the added and removed subcarriers. The updated components may be used to generate weights for a subcarrier in the next window.

Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data delayed versions of at least a portion of the respective processing results with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data delayed versions of respective outputs of various layers of multiplication/accumulation processing units (MAC units) for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a wireless processing mode selection. In another example, such mixing input data with delayed versions of processing results may be to receive and process noisy wireless input data. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

The present invention relates to the technical field of wireless communications, and in particular, to a beam training method and device, for use in resolving the problems in the prior art of excessive time-consuming of a beam training process, large overhead of training signals, and relatively low efficiency. According to embodiments of the present invention, a transmit device sends beam training signals in two times. The first sending of a transmit beam training signal is for a receive device to select a transmit beam using a selected receive beam and report the transmit beam. The second sending is that the transmit device sends a receive beam training signal according to the transmit beam information report of the receive device, so as to train the received beam of the receive device. According to the embodiments of the present invention, an interactive beam training method is used to gradually search for the best transmit beam and receive beam, thereby avoiding completing beam training all at once, reducing beam training time and overhead, and improving efficiency.

Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data delayed versions of at least a portion of the respective processing results with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data delayed versions of respective outputs of various layers of multiplication/accumulation processing units (MAC units) for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a wireless processing mode selection. In another example, such mixing input data with delayed versions of processing results may be to receive and process noisy wireless input data. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

A communication apparatus includes a circuitry and a transmitter. In operation, the circuitry generates a Demodulation Reference Signal (DMRS) and generates downlink control information indicating a mapping pattern of the DMRS from a plurality of mapping patterns, and the transmitter transmits the DMRS and the downlink control information. The plurality of mapping patterns include a first mapping pattern and a second mapping pattern. Resource elements used for the DMRS of the second mapping pattern are same as a part of resource elements used for the DMRS of the first mapping pattern. A number of the resource elements used for the DMRS of the first mapping pattern is larger than a number of the resource elements used for the DMRS of the second mapping pattern.

The present disclosure describes apparatuses and methods of interference cancellation for receivers with multiple antennas. In some aspects, an interference packet transmitted by an interfering device of a wireless environment is received via multiple antennas of a device. Based on the interference packet, an interference channel that describes interference in the wireless environment is estimated. The device then receives an intended packet through the wireless environment in which the interfering device is operating. At least a portion of interference received with the intended packet, such as interference caused by other interfering packets, is cancelled using the interference channel By so doing, a receiver may reduce effects of interfering packets or signals of the wireless environment to improve receive performance (e.g., bit-error rate) for packets that are intended for reception by the device.

A wireless communication system includes a transmitting device and a receiving device each including a plurality of antennas. A plurality of streams are subjected to spatial multiplexing and are transmitted in a downlink in which packets are transmitted from the transmitting device to the receiving device. In the transmitting device, each of the plurality of transmission streams is divided into a plurality of bit-series groups having decoding characteristics to which priority levels are assigned, the bit-series groups are subjected to encoding processes and modulating processes in accordance with the priority levels and further subjected to weighting and synthesizing, and each of the plurality of transmission streams in which a plurality of bit series items are synthesized with one another is spatially multiplexed and transmitted.